Mária Nagy

984 total citations
30 papers, 754 citations indexed

About

Mária Nagy is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Mária Nagy has authored 30 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Neurology. Recurrent topics in Mária Nagy's work include Heat shock proteins research (8 papers), Biochemical and Molecular Research (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Mária Nagy is often cited by papers focused on Heat shock proteins research (8 papers), Biochemical and Molecular Research (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Mária Nagy collaborates with scholars based in United States, France and Egypt. Mária Nagy's co-authors include Michal Žółkiewski, Arthur L. Horwich, Wayne A. Fenton, Sabina Kędzierska‐Mieszkowska, Micheal E. Barnett, Ting Zhang, Anne-Marie Ribet, Urmi Bandyopadhyay, Muhamed Hadzipasic and Krystyna Furtak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Mária Nagy

26 papers receiving 737 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mária Nagy United States 18 515 157 136 93 76 30 754
Emiel Michiels Belgium 13 518 1.0× 179 1.1× 52 0.4× 50 0.5× 113 1.5× 19 745
Debbie Ang Denmark 13 759 1.5× 46 0.3× 157 1.2× 183 2.0× 57 0.8× 15 952
Tyler Matheny United States 12 1.8k 3.5× 103 0.7× 193 1.4× 20 0.2× 64 0.8× 12 1.9k
Ina Vorberg Germany 29 1.7k 3.3× 149 0.9× 113 0.8× 75 0.8× 18 0.2× 60 1.9k
Duncan Browman France 8 783 1.5× 88 0.6× 312 2.3× 20 0.2× 29 0.4× 10 1.3k
Francesca Macchi Italy 18 252 0.5× 217 1.4× 32 0.2× 30 0.3× 37 0.5× 29 782
Regina Kascsak United States 27 2.5k 4.8× 247 1.6× 78 0.6× 50 0.5× 38 0.5× 40 2.8k
Janice E. Kranz United States 11 841 1.6× 218 1.4× 114 0.8× 8 0.1× 133 1.8× 14 1.1k
Marcela Raı́ces United States 17 1.1k 2.1× 90 0.6× 134 1.0× 17 0.2× 45 0.6× 24 1.5k
Toshiki Nakai Japan 14 728 1.4× 121 0.8× 116 0.9× 32 0.3× 10 0.1× 21 947

Countries citing papers authored by Mária Nagy

Since Specialization
Citations

This map shows the geographic impact of Mária Nagy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mária Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mária Nagy more than expected).

Fields of papers citing papers by Mária Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mária Nagy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mária Nagy. The network helps show where Mária Nagy may publish in the future.

Co-authorship network of co-authors of Mária Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Mária Nagy. A scholar is included among the top collaborators of Mária Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mária Nagy. Mária Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mohamed, Hanan R. H., et al.. (2025). Potent cytotoxicity and induction of ROS-mediated genomic instability, mitochondrial dysfunction, and apoptosis by Y2O3 NPs in Hep-G2 hepatic cancer cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(9). 12673–12683.
2.
3.
Mohamed, Hanan R. H., et al.. (2025). Cobalt oxide nanoparticles induce cytotoxicity and excessive ROS mediated mitochondrial dysfunction and p53-independent apoptosis in melanoma cells. Scientific Reports. 15(1). 2220–2220. 8 indexed citations
4.
Taguchi, Yumiko, Mária Nagy, Wayne A. Fenton, et al.. (2019). Hsp110 mitigates α-synuclein pathology in vivo. Proceedings of the National Academy of Sciences. 116(48). 24310–24316. 49 indexed citations
5.
Hadzipasic, Muhamed, Weiming Ni, Mária Nagy, et al.. (2016). Reduced high-frequency motor neuron firing, EMG fractionation, and gait variability in awake walking ALS mice. Proceedings of the National Academy of Sciences. 113(47). E7600–E7609. 22 indexed citations
6.
Nagy, Mária, Wayne A. Fenton, Di Li, Krystyna Furtak, & Arthur L. Horwich. (2016). Extended survival of misfolded G85R SOD1-linked ALS mice by transgenic expression of chaperone Hsp110. Proceedings of the National Academy of Sciences. 113(19). 5424–5428. 52 indexed citations
7.
Pimienta, Genaro, et al.. (2015). Proteomics and Transcriptomics of BJAB Cells Expressing the Epstein-Barr Virus Noncoding RNAs EBER1 and EBER2. PLoS ONE. 10(6). e0124638–e0124638. 25 indexed citations
8.
Nagy, Mária, et al.. (2015). Híd a közoktatás és a felsőoktatás között. ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University). 25(1). 51–76. 2 indexed citations
9.
Bandyopadhyay, Urmi, Wayne A. Fenton, Arthur L. Horwich, & Mária Nagy. (2014). Production of RNA for Transcriptomic Analysis from Mouse Spinal Cord Motor Neuron Cell Bodies by Laser Capture Microdissection. Journal of Visualized Experiments. e51168–e51168. 8 indexed citations
10.
Bandyopadhyay, Urmi, Justin Cotney, Mária Nagy, et al.. (2013). RNA-Seq Profiling of Spinal Cord Motor Neurons from a Presymptomatic SOD1 ALS Mouse. PLoS ONE. 8(1). e53575–e53575. 47 indexed citations
11.
Zhang, Ting, Elizabeth A. Ploetz, Mária Nagy, et al.. (2012). Flexible connection of the N‐terminal domain in ClpB modulates substrate binding and the aggregate reactivation efficiency. Proteins Structure Function and Bioinformatics. 80(12). 2758–2768. 17 indexed citations
12.
Žółkiewski, Michal, Ting Zhang, & Mária Nagy. (2012). Aggregate reactivation mediated by the Hsp100 chaperones. Archives of Biochemistry and Biophysics. 520(1). 1–6. 56 indexed citations
13.
Nagy, Mária, et al.. (2009). Walker‐A threonine couples nucleotide occupancy with the chaperone activity of the AAA+ ATPase ClpB. Protein Science. 18(2). 287–293. 30 indexed citations
14.
Nagy, Mária, et al.. (2009). Synergistic Cooperation between Two ClpB Isoforms in Aggregate Reactivation. Journal of Molecular Biology. 396(3). 697–707. 35 indexed citations
15.
Nagy, Mária, et al.. (2006). Domain stability in the AAA+ ATPase ClpB from Escherichia coli. Archives of Biochemistry and Biophysics. 453(1). 63–69. 7 indexed citations
16.
Barnett, Micheal E., Mária Nagy, Sabina Kędzierska‐Mieszkowska, & Michal Žółkiewski. (2005). The Amino-terminal Domain of ClpB Supports Binding to Strongly Aggregated Proteins. Journal of Biological Chemistry. 280(41). 34940–34945. 82 indexed citations
17.
Nagy, Mária. (2003). Teachers. European Education. 35(1). 15–26. 3 indexed citations
18.
Tari, Irma & Mária Nagy. (1994). Enhancement of extractable ethylene at light/dark transition in primary leaves of paclobutrazol-treated Phaseolus vulgaris seedlings. Physiologia Plantarum. 90(2). 353–357. 1 indexed citations
19.
Hervé, Guy, et al.. (1993). The carbamoyl phosphate synthetase-aspartate transcarbamoylase complex of Saccharomyces cerevisiae: molecular and cellular aspects. Biochemical Society Transactions. 21(1). 195–198. 13 indexed citations
20.
Nagy, Mária. (1979). Studies on purine transport and on purine content in vacuoles isolated from Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Biomembranes. 558(2). 221–232. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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